scholarly journals Defining Episodes of Care for Chronic Diseases: A Targeted Literature Review

2016 ◽  
Vol 19 (7) ◽  
pp. A500-A501
Author(s):  
DB Ng ◽  
S Sherman ◽  
K Desroziers ◽  
K Gooch
2019 ◽  
Vol 5 (2) ◽  
pp. 75-78
Author(s):  
Yousef Ahmed Alomi ◽  
Ban Abdullah Aldosary ◽  
Nasser Faleh Aldawas

Author(s):  
Adriano Alberti ◽  
Eliton Marcio Zanoni

OBJETIVES: The practice of physical activity is important to control and combat various chronic diseases, including improving the immune system, but in times of pandemic, the best way to prevent the spread of COVID-19 is isolation and social distancing, consequently causing people to become inactive. This work is a systematic review to address the practice of physical activity amidst the Covid-19 pandemic. METHODS: This article aims to address the topic through a systematic review. It consists of a systematic literature review carried out through research in the Pubmed database. Nine articles were selected. CONCLUSION: It is concluded that the practice of physical activity is beneficial during the pandemic, but that it should be carried out at home, or in environments that respect WHO standards.


10.2196/20701 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e20701 ◽  
Author(s):  
Theresa Schachner ◽  
Roman Keller ◽  
Florian v Wangenheim

Background A rising number of conversational agents or chatbots are equipped with artificial intelligence (AI) architecture. They are increasingly prevalent in health care applications such as those providing education and support to patients with chronic diseases, one of the leading causes of death in the 21st century. AI-based chatbots enable more effective and frequent interactions with such patients. Objective The goal of this systematic literature review is to review the characteristics, health care conditions, and AI architectures of AI-based conversational agents designed specifically for chronic diseases. Methods We conducted a systematic literature review using PubMed MEDLINE, EMBASE, PyscInfo, CINAHL, ACM Digital Library, ScienceDirect, and Web of Science. We applied a predefined search strategy using the terms “conversational agent,” “healthcare,” “artificial intelligence,” and their synonyms. We updated the search results using Google alerts, and screened reference lists for other relevant articles. We included primary research studies that involved the prevention, treatment, or rehabilitation of chronic diseases, involved a conversational agent, and included any kind of AI architecture. Two independent reviewers conducted screening and data extraction, and Cohen kappa was used to measure interrater agreement.A narrative approach was applied for data synthesis. Results The literature search found 2052 articles, out of which 10 papers met the inclusion criteria. The small number of identified studies together with the prevalence of quasi-experimental studies (n=7) and prevailing prototype nature of the chatbots (n=7) revealed the immaturity of the field. The reported chatbots addressed a broad variety of chronic diseases (n=6), showcasing a tendency to develop specialized conversational agents for individual chronic conditions. However, there lacks comparison of these chatbots within and between chronic diseases. In addition, the reported evaluation measures were not standardized, and the addressed health goals showed a large range. Together, these study characteristics complicated comparability and open room for future research. While natural language processing represented the most used AI technique (n=7) and the majority of conversational agents allowed for multimodal interaction (n=6), the identified studies demonstrated broad heterogeneity, lack of depth of reported AI techniques and systems, and inconsistent usage of taxonomy of the underlying AI software, further aggravating comparability and generalizability of study results. Conclusions The literature on AI-based conversational agents for chronic conditions is scarce and mostly consists of quasi-experimental studies with chatbots in prototype stage that use natural language processing and allow for multimodal user interaction. Future research could profit from evidence-based evaluation of the AI-based conversational agents and comparison thereof within and between different chronic health conditions. Besides increased comparability, the quality of chatbots developed for specific chronic conditions and their subsequent impact on the target patients could be enhanced by more structured development and standardized evaluation processes.


2021 ◽  
Vol 74 (3) ◽  
Author(s):  
Francely Tineli Farinha ◽  
Gesiane Cristina Bom ◽  
Maila Meryellen Ferreira Garcia Manso ◽  
Ana Paula Ribeiro Razera ◽  
Cleide Carolina da Silva Demoro Mondini ◽  
...  

ABSTRACT Objectives: to identify the factors related to the use of religious coping in informal caregivers. Methods: integrative literature review carried out through a search in the databases LILACS, PubMed, Scopus, Web of Science, and CINAHL, in addition to the Virtual Health Library and SciELO. The study selected primary articles in English, Portuguese, and Spanish, using the descriptors Coping Behavior, Caregivers, Spirituality, and Religion, which were combined with each other and with synonyms. There was no time limit for the publications. Results: nine articles were selected. Factors related to the use of religious coping in informal caregivers included: having an advanced age, experiencing traumatic situations, being under overload, being a spouse or mother, caring for hospitalized individuals, or for those with chronic diseases and high degrees of dependence. Conclusions: the factors related to the use of religious coping are multifaceted and involve physical, psychological, psychosocial, and situational aspects.


2014 ◽  
Vol 14 (3) ◽  
Author(s):  
Denise Van der Klauw ◽  
Hanneke Molema ◽  
Liset Grooten ◽  
Hubertus Vrijhoef

2013 ◽  
Vol 23 ◽  
Author(s):  
Sílvia Aparecida Steiner ◽  
Marcia Regina Fantoni Torres ◽  
Francisco José Penna ◽  
Maria do Carmo Barros de Melo

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 40-40
Author(s):  
Anne Girault ◽  
Chloe Gerves-Pinquie ◽  
Etienne Minvielle

40 Background: Demands for new payment systems to better coordinate services along the care continuum are emerging in oncology. Among them, bundling payments for defined episodes of care are considered as a promising payment option. The study objective was to understand how to develop an optimal payment system in order to foster coordination between hospitals and post-acute providers, and to identify potential pitfalls associated with its implementation. Methods: We conducted a literature review, exploring articles published between 2010 and 2015 in Medline. 47 papers were finally retrieved, including 18 articles focusing on cancer care. Results: The review highlighted key issues in the design and implementation of an alternative payment model in oncology. First, some studies explained that the level of integration of the different stakeholders would condition the choice of the payment design. They advised that the enrolled caregivers had a prior experience of working together so that the payment could rely on already formalized care processes. Second, most papers insisted that healthcare professionals had to be included since the design phase to agree on a standardized care pathway that would be consistent with current guidelines. To do so, focus groups and semi-structured interviews conducted with professionals from the enrolled facilities, as well as payers and patient associations, were favored. Third, the review showed that economic evaluations were necessary to have an understanding of the episode costs and determine gain-sharing arrangements between caregivers as well as their respective financial accountability. Using a micro-costing approach and adopting a societal perspective to estimate direct, indirect and intangible costs were demanded. Contingent evaluations measuring professionals’ willingness to participate in the payment scheme could serve as complementary analyses. Conclusions: The adoption of a new payment system would be strongly dependent on the design choices and implementation processes. A pilot study assessing its effectiveness in cancer care should bring important knowledge for policymakers willing to develop value-based payment systems in oncology.


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